- Updated `dev_requirements.txt` to include `pytest-xdist`, `python-dotenv`, and `azure-identity`.
- Added `analyze_url.py` sample for extracting content from a URL using the prebuilt-documentSearch analyzer.
- Created `sample_helper.py` for utility functions to save JSON results and manage sample files.
- Updated `README.md` in samples directory with setup instructions and sample descriptions.

…, and custom poller

…umentSearch

- Introduced `analyze_binary.py` to demonstrate asynchronous content extraction from PDF files.
- Added multiple sample PDF files for testing, including IRS forms and bank statements.
- Created README.md files in sample directories to guide users on file requirements and usage for training custom models.

…alysis

- Introduced `analyze_binary_features.py` to showcase extraction of charts, hyperlinks, and annotations from PDF documents using the prebuilt-documentSearch analyzer.
- Added `sample_document_features.pdf` for testing the new sample functionality.

…rame extraction

- Introduced `get_result_file.py` to showcase the process of analyzing a video file, extracting keyframes, and saving them as images.
- Included environment setup instructions and prerequisites for running the sample.
- Implemented functionality to create a marketing video analyzer and handle keyframe image downloads.

…eld extraction from a URL

- Introduced `analyze_url_prebuilt_invoice.py` to showcase the use of the prebuilt-invoice analyzer for extracting fields from an invoice URL.
- Included environment setup instructions and prerequisites for running the sample.
- Implemented functionality to analyze an invoice and save the results to a JSON file for detailed inspection.

- Introduced `create_analyzer_with_labels.py` to demonstrate building a custom model using training files from Azure Blob Storage.
- Updated `env.sample` to reflect new environment variables required for the sample.
- Included detailed instructions for setting up the environment and running the sample, including handling of optional parameters for training data.

- Introduced `copy_analyzer.py` to demonstrate copying an analyzer from a development environment to production using the `begin_copy_analyzer` API.
- Added `grant_copy_auth.py` to showcase granting copy authorization and copying an analyzer between different Azure subscriptions.
- Updated `env.sample` with new environment variables required for cross-subscription operations, including source and target resource IDs and regions.
- Provided detailed instructions for setting up the environment and running the new samples.

…ssues that emitter generates incorrect copy path.

…onse codes for copy analyzer operations. Ensure compatibility with both current (201) and future (202) service behavior.

… improved performance and consistency across various analyzer and classification scripts.

…and remove raw response verification. Update to use public property for operation ID retrieval in tests.

…ayback

…odies=False

The previous fix using ignored_headers was insufficient because it still
checked for header presence. This change:

1. Uses excluded_headers instead of ignored_headers to completely exclude
   headers from matching consideration (both presence and value)
2. Adds compare_bodies=False since LRO polling GET requests have no body
3. Excludes more headers that vary between environments:
   - User-Agent: Python version, OS, CI build info
   - x-ms-client-request-id: Unique per request
   - x-ms-request-id: Server-generated
   - Authorization: Different tokens per environment
   - Content-Length: May vary
   - Accept, Connection: Standard exclusions

This follows the pattern used by formrecognizer and translation-document
SDKs for handling LRO test playback issues.

…tamps